Tianyun Gao, Didi Li, Guoqing Jin, Haiyi Liang, Runhuai Yang
{"title":"Discrete element simulation of mechanics properties of single edge notched hydrogel-a new material for soft robot and sensor *","authors":"Tianyun Gao, Didi Li, Guoqing Jin, Haiyi Liang, Runhuai Yang","doi":"10.1109/WRC-SARA.2018.8584203","DOIUrl":"https://doi.org/10.1109/WRC-SARA.2018.8584203","url":null,"abstract":"Hydrogels have been widely studied in the field of soft robots in recent years due to their good biocompatibility, controllable electrical properties and mechanical properties, and hydrogels are expected to be promising materials for manufacturing soft robots and sensors. Here, we focus on the simulation of the mechanical properties of hydrogels. A novel simulation model based on discrete element method (DEM) is presented to simulate the fracture properties of notched hydrogels. The method used particle model and wall model to simulate the hydrogel and the force applied to it. Elastic module, viscous module and bonding module were applied between each particle to simulate the real microstructure inside hydrogel. Here, we used regular arrangement particles to simulate the homogeneous hydrogel, and staggered arrangement particles to simulate the inhomogeneous hydrogel. A single edge notched tension specimen, as a typical specimen for testing fracture properties is used to simulate the real broken. The morphology of hydrogels during the single edge notched hydrogel was simulated in detail, and the force-displacement curve, stress-strain curve and strain energy was calculated from the method. The results of the simulation show that the fracture properties were quite different while the arrangement of the particle was changed and the irregular arrangement particles had a better fracture property which was consistent to the real experiment that the fracture property of inhomogeneous hydrogel was better than homogeneous hydrogel. The applicability, simplicity and flexibility of the new approach were demonstrated and the results show that the model has potential in study the movement and the mechanical response for the research of soft materials and robotics.","PeriodicalId":185881,"journal":{"name":"2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133321264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Flight Trajectory Simulation of Robotic Throwing Shuttlecock","authors":"Fuwen Hu, Qinghua Liu, Jingli Cheng, Yunhua He","doi":"10.1109/WRC-SARA.2018.8584236","DOIUrl":"https://doi.org/10.1109/WRC-SARA.2018.8584236","url":null,"abstract":"The theme of the ABU Asia-Pacific Robot Contest in 2018 is to throw the shuttlecocks through the provided rings at height. The shuttlecock is an object made of cotton balls or filled with rice husks, symbolizing prosperity and happiness. For the design and control of robotic throwing mechanism, two aspects of research need to be carried out: selection of initial throwing parameters, aerodynamic behavior of shuttlecocks. Firstly, the influence of the initial throwing speed and the throwing angle on the throwing distance was studied through the kinematics simulation analysis, and the design of the throwing trajectory was further studied. In addition, the influence of air resistance on the flight trajectory was also studied. Finally, for the precise control parameters of the throwing mechanism, the rigid-flexible coupled multi-body dynamics simulation analysis was performed using ADAMS(Automatic Dynamic Analysis of Mechanical Systems) virtual prototype technology. The shuttlecocks throwing experiments conducted on the playing field showed that the design and simulation analysis of the throwing trajectory played a good guiding role in the design and development of the shuttlecocks throwing robot.","PeriodicalId":185881,"journal":{"name":"2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127083062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Topology Synthesis, Prototype, and Test of an Industrial Robot Gripper with 3D Printed Compliant Fingers for Handling of Fragile Objects","authors":"Chih-Hsing Liu, Ta-Lun Chen, Tzu-Yang Pai, Chen-Hua Chiu, Wei-Geng Peng, Mao-Cheng Hsu","doi":"10.1109/WRC-SARA.2018.8584239","DOIUrl":"https://doi.org/10.1109/WRC-SARA.2018.8584239","url":null,"abstract":"This study presents the design of an innovative soft robotic gripper which consists of one linear actuator and two identical topology optimized compliant fingers. Both fingers can be actuated by one displacement input, and can deform elastically to execute the gripping motion. A topology optimization method is presented to synthesize the compliant finger. The developed finger is a monolithic compliant mechanism prototyped by 3D printing using flexible thermoplastic filament. The proposed gripper module is mounted on a six-axis industrial robot to demonstrate its capability in handing of fragile objects such as apple, glass cup, egg, water balloon, and balloon. The proposed compliant gripper is a low-cost, sensor-less design which can be used in adaptive grasping of size-varied fragile objects.","PeriodicalId":185881,"journal":{"name":"2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127242209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An efficient layered robot path planning approach based on MOPSO algorithm","authors":"Han Wu, Huiliang Shang","doi":"10.1109/WRC-SARA.2018.8584231","DOIUrl":"https://doi.org/10.1109/WRC-SARA.2018.8584231","url":null,"abstract":"A layered path planning approach is designed to find a collision free and global optimal path from the start position to goal position in static environment. In the first two levels, called preprocessing, Delaunay triangulation and Dijkstra’s algorithm are applied to generate the initial approximate optimal paths. Then considering two objectives, minimizing the path length and maximizing the path smoothness, the improved multi-objective particle swarm optimization is used to optimize the initial paths in the third level. Various experimental results in different environments show that the proposed layered planning method can avoid the local optimal path and accelerate the convergence.","PeriodicalId":185881,"journal":{"name":"2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126622123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis and Research on Multi-Joint Power-Assisted Exoskeleton*","authors":"Feng Zhou, Min Chen, Yue-hong Dai, Kaiyu Qin","doi":"10.1109/WRC-SARA.2018.8584200","DOIUrl":"https://doi.org/10.1109/WRC-SARA.2018.8584200","url":null,"abstract":"In the control of exoskeleton system, the man-machine interaction can realize the auxiliary power effect of human host. In this paper, we study the interaction between human body simulation experiment and exoskeleton structure, and perceive the human body through the exoskeleton. And drive the motor to achieve synchronous action, so as to achieve the effect of assistance. This paper adopts the fuzzy adaptive PD/PID control algorithm to carry out comparative analysis by optimizing the theoretical analysis and experimental simulation of control, improving the synchronous effect of exoskeleton movement, and realizing the effective follow-up of exoskeleton. The basic components of exoskeleton robot include: mechanical structure, actuator, control system, sensing system, energy system and wearer. The bionic mechanical structure is in contact with the human body to share the weight of the human body or to enhance the human body’s motion ability; the actuator adopts the motor to help promote the movement of the mechanical structure; the control system processes the information of the sensing system and sends out the control information; the sensing system perceives the human body motion information; the energy system provides the energy source for the exoskeleton robot movement. Using Adams and Matlab simulation in joint position, dynamic analysis, optimization structure design. The power output of exoskeleton is approximately synchronous with human motion, its power can effectively assist human body, the man-machine interaction performance result shows well which improve the following control effect of the machine with human motion.","PeriodicalId":185881,"journal":{"name":"2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131256531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Kinect-based Human Body Tracking System Control of Medical Care Service Robot","authors":"Yanran Long, Yulin Xu, Zixuan Xiao, Zheping Shen","doi":"10.1109/WRC-SARA.2018.8584246","DOIUrl":"https://doi.org/10.1109/WRC-SARA.2018.8584246","url":null,"abstract":"In order to realize the human body following of medical care service robot, Kinect v2 is used to detect the target person in real time, and the improved Gaussian filter algorithm is used to denoise the depth image. In this paper, Kalman filtering algorithm is used to predict human movement information, thus ensuring safer and more reliable real-time tracking. When the target character is blocked, the robot can be stopped safely and effectively. This system uses the gesture of the target person to start or stop following, and it can realize good human-computer interaction. Finally, a series of human body following test experiments are designed to verify the effectiveness of the proposed method and the feasibility of the robot system to achieve human body following in hospital environment.","PeriodicalId":185881,"journal":{"name":"2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133245435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaoguang Wu, Shaowei Liu, Tianci Zhang, Lei Yang, Yanhui Li, Tingjin Wang
{"title":"Motion Control for Biped Robot via DDPG-based Deep Reinforcement Learning","authors":"Xiaoguang Wu, Shaowei Liu, Tianci Zhang, Lei Yang, Yanhui Li, Tingjin Wang","doi":"10.1109/WRC-SARA.2018.8584227","DOIUrl":"https://doi.org/10.1109/WRC-SARA.2018.8584227","url":null,"abstract":"In the study of the passive biped robot, the avoidance of fall over is always an important direction of the research. In this paper, we propose Deep Deterministic Policy Gradient (DDPG) to control the biped robot walk steadily on the slope. For improve the speed of DDPG training, the DDPG used in the paper is improved by parallel actors and Prioritized Experience Replay (PER). In the simulation, we control different initial states that cause the biped robot to fall over. After the control, the biped robot can walk stably, which indicating that DDPG can effectively control the fall over of the biped robot.","PeriodicalId":185881,"journal":{"name":"2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132067778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zelin Yang, Tongtong Li, Tao Yang, Yanbo Wang, Tao Deng
{"title":"Research and Realization of Robot Experiment System Based on Virtuality and Actuality","authors":"Zelin Yang, Tongtong Li, Tao Yang, Yanbo Wang, Tao Deng","doi":"10.1109/WRC-SARA.2018.8584251","DOIUrl":"https://doi.org/10.1109/WRC-SARA.2018.8584251","url":null,"abstract":"Based on Virtual Robot Experiment Platform (V-REP) and real-time controller, a universal robot simulation experiment system is constructed which is based on virtual reality and physical model. The robot real-time control system and the virtual simulation system software architecture are given. The robot kinematic and dynamic model is established, the software algorithm and interface of the virtual simulation system and control system are designed. The simulation experiment verifies the rationality and correctness of this robot experimental system.","PeriodicalId":185881,"journal":{"name":"2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130716292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Target Recognition and Optimal Grasping Based on Deep Learning","authors":"Qingquan Lin, Dan Chen","doi":"10.1109/WRC-SARA.2018.8584228","DOIUrl":"https://doi.org/10.1109/WRC-SARA.2018.8584228","url":null,"abstract":"The difficulty of robot in three-dimensional target recognition and optimal grasping is the complex background environment and the irregular shape of the target object. The robot is required to identify the best grasping pose of the target like a human while identifying different three-dimensional objects posture. A deep learning method based on the cascaded faster-rcnn model to identify the target object and its optimal grasping posture is proposed in this paper. First, the improved faster-rcnn model is used to identify the object and determine its approximate position. Then, the other faster-rcnn model is used to find the optimal grasping pose of the target, and complete robot's optimal grasp. Experiments show that the method can quickly and accurately find the target object and determine its optimal grasping pose.","PeriodicalId":185881,"journal":{"name":"2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115354056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-moving target detection based on the combination of three frame difference algorithm and background difference algorithm","authors":"Hong He, S. Ma, Lei Sun","doi":"10.1109/WRC-SARA.2018.8584221","DOIUrl":"https://doi.org/10.1109/WRC-SARA.2018.8584221","url":null,"abstract":"Aiming at the problem of ghosting detected by two-frame different method and the defects existed in the independent detection by inter-frame difference method and background difference method, three-frame difference method is proposed in this paper. That is, the different result between frame and frame can be calculated. The outline of the moving target is roughly marked to solve the problem of ghosting. At the same time, we combine the three frame difference method and the background difference method to get the algorithm of this paper. The algorithm uses a mixed Gaussian method to establish a background model and modify the variance update so that the background model fits with the real background and performs morphological processing to extract the moving target. The experimental results show that the combination of the three-frame difference method and the background difference method can effectively remove the noise and ghosting, which avoids inaccurate object extraction, caused by the background difference method and avoids the incomplete moving object of the inter-frame difference method.","PeriodicalId":185881,"journal":{"name":"2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121072198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}